We recently received exciting news about Hortonworks DataPlane Service (DPS). Hortonworks was among the select companies that Forrester invited to participate in its evaluation, The Forrester Wave™: Big Data Fabric, Q2 2018. In this evaluation, Hortonworks was cited as a Strong Performer. What’s remarkable is that our entry, DPS, is still a relatively new offering; we just launched it last fall. The fact that it’s attracting so much attention so soon highlights how important big data fabric technology is becoming and how our open source strategy is bringing innovation to the market quickly.
In case “big data fabric” is a new term to you, let us tell you about it and about what DPS does for organizations. As data has exploded, it has exploded into many forms in every region. Large companies find themselves with multiple Hadoop data lakes—silos of data distributed throughout their operational area. The data comes from diverse sources and may have unique security and governance requirements. It’s in many formats and is located in private data centers and in the cloud.
Consolidating data in a single data lake is often not practical or may not even be possible due to time and expense related to moving such a large volume of data or for compliance reasons such as data sovereignty. So companies need a uniform and consistent way to view their data assets and manage security policies and governance processes across all their diverse data lakes whether they are located on-premises or in the cloud. And they need a way to move data safely from one location to another as business and economics dictate without replicating the security policies every time data is copied from one environment to another.
That’s exactly what DPS does. It’s a portfolio of solutions that enables companies to manage, secure, and govern data spread across on-premises and cloud environments. It provides a consistent way of managing their data wherever it lives, ensuring consistent security and governance policies, and moving it—along with its associated security policies—from place to place. It makes trusted data available to users based on their roles. It provides for data replication and failback. DPS consists of a unified platform and a set of extensible services—Data Lifecycle Manager and Data Steward Studio—that operate on top of the platform.
Like all Hortonworks products, it’s based on open source technology—in this case Apache Ranger™, Apache Atlas, and Apache Knox™. I think that’s why we’re so proud of our performance in the Forrester evaluation. For us, it validates our strategy of using open source technology to bring the most innovation to the most organizations in the least time. Forrester notes, “Unlike other big data fabric vendors, Hortonworks’ strategy is to build a completely open source platform,” and they rate us 5.00 out of 5.00 in the ability to execute criterion. To be sure innovation continues we’ve made DPS an open platform on which we and our partners will continue to build functionality with additional applications.
You don’t need a crystal ball to predict that data volume and variety will continue to explode. So as more companies mine that value in even more data, and as even more data moves to the cloud, the need for a uniform management layer will continue to grow. Hortonworks DataPlane Service will grow right along with it.
 Forrester, “The Forrester Wave™: Big Data Fabric, Q2 2018”